Network traffic features for anomaly detection in specific industrial control system network

被引:0
|
作者
机构
[1] Mantere, Matti
[2] Sailio, Mirko
[3] Noponen, Sami
来源
Mantere, Matti (matti.mantere@vtt.fi) | 1600年 / MDPI AG卷 / 05期
关键词
Learning algorithms - Learning systems - Control systems - Feature extraction;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Network Traffic Features for Anomaly Detection in Specific Industrial Control System Network
    Mantere, Matti
    Sailio, Mirko
    Noponen, Sami
    [J]. FUTURE INTERNET, 2013, 5 (04) : 460 - 473
  • [2] Industrial Control System Anomaly Detection and Classification Based on Network Traffic
    Jiang, Jehn-Ruey
    Chen, Yan-Ting
    [J]. IEEE ACCESS, 2022, 10 : 41874 - 41888
  • [3] Analysis of network traffic features for anomaly detection
    Iglesias, Felix
    Zseby, Tanja
    [J]. MACHINE LEARNING, 2015, 101 (1-3) : 59 - 84
  • [4] Analysis of network traffic features for anomaly detection
    Félix Iglesias
    Tanja Zseby
    [J]. Machine Learning, 2015, 101 : 59 - 84
  • [5] Anomaly Detection for Industrial Control System Based on Autoencoder Neural Network
    Wang, Chao
    Wang, Bailing
    Liu, Hongri
    Qu, Haikuo
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2020, 2020 (2020):
  • [6] Industrial control system device classification using network traffic features and neural network embeddings
    Chakraborty, Indrasis
    Kelley, Brian M.
    Gallagher, Brian
    [J]. Array, 2021, 12
  • [7] Anomaly detection in network traffic
    Duraj, Agnieszka
    Bucki, Pawel
    Drajling, Aleksander
    Makrocki, Robert
    Sipinski, Mateusz
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2022, 98 (12): : 205 - 208
  • [8] Network anomaly detection scheme based on running states of industrial control system
    Yunoki, Shoji
    Ohkura, Yoshinori
    [J]. IEEJ Transactions on Electronics, Information and Systems, 2014, 134 (10) : 1492 - 1497
  • [9] Industrial Control System Anomaly Detection Using Convolutional Neural Network Consensus
    Sinha, Aviraj
    Taylor, Michael
    Srirama, Nathan
    Manikas, Theodore
    Larson, Eric C.
    Thornton, Mitchell A.
    [J]. 5TH IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2021), 2021, : 693 - 700
  • [10] Performance of Interval-based Features for Anomaly Detection in Network Traffic
    Limthong, Kriangkrai
    [J]. 2013 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), 2013, : 361 - 362